MaryLena Bleile
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Hello! I am a cellist-turned-statistician originally from Calgary, Alberta. I am currently working on obtaining a Statistics Ph.D (ABD), with research taking place at the Medical Artificial Intelligence and Automation lab at UT Southwestern Medical Center. My dissertation itself consists of methodology that combines Machine Learning (Q-learning) and classical statistics (linear and nonlinear Bayesian mixed models) to optimize response-adaptive radiotherapy plans.
Mission: One of the major problems in the world, in my opinion, is a phenomenon called dichotomistic bias: the human tendency to simplify phenomena by categorizing and imposing dichotomies. While dichotomies aren't necessarily bad in themselves, our tendency to simplify by imposing them when they aren't useful often gets in the way of justice, honesty, and good scientific research. I am committed to dismantling the grip of dichotomistic bias through various means including scientific unification of theory, bridging in communication between theorists and applied scientists, and counteracting false dichotomies with balance. In the words of Francois Chollet, "I want to write code that feels like art, and make art that thinks like code". You can read more about some of my work dismantling dichotomistic bias (including DEI organization and speaking) on my research page.
Interests: In addition to the topics in my dissertation work, I enjoy thinking about philosophy and take heavy influence from Albert Camus, Michel Foucault, and the Tao Te Ching. I also engage in a variety of athletic activities including weight lifting and Judo; you can read about these on my athletics page.
@ML_does_ML
marylenableile@
.com
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